A Benchmark and Simulator for UAV Tracking

Handle URI:
http://hdl.handle.net/10754/622126
Title:
A Benchmark and Simulator for UAV Tracking
Authors:
Mueller, Matthias; Smith, Neil; Ghanem, Bernard ( 0000-0002-5534-587X )
Abstract:
In this paper, we propose a new aerial video dataset and benchmark for low altitude UAV target tracking, as well as, a photorealistic UAV simulator that can be coupled with tracking methods. Our benchmark provides the first evaluation of many state-of-the-art and popular trackers on 123 new and fully annotated HD video sequences captured from a low-altitude aerial perspective. Among the compared trackers, we determine which ones are the most suitable for UAV tracking both in terms of tracking accuracy and run-time. The simulator can be used to evaluate tracking algorithms in real-time scenarios before they are deployed on a UAV “in the field”, as well as, generate synthetic but photo-realistic tracking datasets with automatic ground truth annotations to easily extend existing real-world datasets. Both the benchmark and simulator are made publicly available to the vision community on our website to further research in the area of object tracking from UAVs. (https://ivul.kaust.edu.sa/Pages/pub-benchmark-simulator-uav.aspx.). © Springer International Publishing AG 2016.
KAUST Department:
King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
Citation:
Mueller M, Smith N, Ghanem B (2016) A Benchmark and Simulator for UAV Tracking. Lecture Notes in Computer Science: 445–461. Available: http://dx.doi.org/10.1007/978-3-319-46448-0_27.
Publisher:
Springer Nature
Journal:
Lecture Notes in Computer Science
Conference/Event name:
14th European Conference on Computer Vision, ECCV 2016
Issue Date:
16-Sep-2016
DOI:
10.1007/978-3-319-46448-0_27
Type:
Conference Paper
ISSN:
0302-9743; 1611-3349
Sponsors:
Research in this paper was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research.
Additional Links:
http://link.springer.com/chapter/10.1007%2F978-3-319-46448-0_27
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorMueller, Matthiasen
dc.contributor.authorSmith, Neilen
dc.contributor.authorGhanem, Bernarden
dc.date.accessioned2017-01-02T08:10:19Z-
dc.date.available2017-01-02T08:10:19Z-
dc.date.issued2016-09-16en
dc.identifier.citationMueller M, Smith N, Ghanem B (2016) A Benchmark and Simulator for UAV Tracking. Lecture Notes in Computer Science: 445–461. Available: http://dx.doi.org/10.1007/978-3-319-46448-0_27.en
dc.identifier.issn0302-9743en
dc.identifier.issn1611-3349en
dc.identifier.doi10.1007/978-3-319-46448-0_27en
dc.identifier.urihttp://hdl.handle.net/10754/622126-
dc.description.abstractIn this paper, we propose a new aerial video dataset and benchmark for low altitude UAV target tracking, as well as, a photorealistic UAV simulator that can be coupled with tracking methods. Our benchmark provides the first evaluation of many state-of-the-art and popular trackers on 123 new and fully annotated HD video sequences captured from a low-altitude aerial perspective. Among the compared trackers, we determine which ones are the most suitable for UAV tracking both in terms of tracking accuracy and run-time. The simulator can be used to evaluate tracking algorithms in real-time scenarios before they are deployed on a UAV “in the field”, as well as, generate synthetic but photo-realistic tracking datasets with automatic ground truth annotations to easily extend existing real-world datasets. Both the benchmark and simulator are made publicly available to the vision community on our website to further research in the area of object tracking from UAVs. (https://ivul.kaust.edu.sa/Pages/pub-benchmark-simulator-uav.aspx.). © Springer International Publishing AG 2016.en
dc.description.sponsorshipResearch in this paper was supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research.en
dc.publisherSpringer Natureen
dc.relation.urlhttp://link.springer.com/chapter/10.1007%2F978-3-319-46448-0_27en
dc.subjectAerial object trackingen
dc.subjectUAV simulatoren
dc.subjectUAV trackingen
dc.titleA Benchmark and Simulator for UAV Trackingen
dc.typeConference Paperen
dc.contributor.departmentKing Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabiaen
dc.identifier.journalLecture Notes in Computer Scienceen
dc.conference.date2016-10-11 to 2016-10-14en
dc.conference.name14th European Conference on Computer Vision, ECCV 2016en
dc.conference.locationAmsterdam, NLDen
kaust.authorMueller, Matthiasen
kaust.authorSmith, Neilen
kaust.authorGhanem, Bernarden
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